Prediction

Model

iceclear/stablesr:01e431cb

vwqsxtrbx64uwtd2aetfzir55a

Status

Succeeded

Source

Web

Hardware

A100 (40GB)

Total duration

22.8s

Created

over 2 years ago

Webhook

–

Input

input_image: https://replicate.delivery/pbxt/JPdHjT2nuixBTTtKrwMFyy9UE1QqB7Mr0T7baVtgnq7l4ogK/OST_120.png
ddpm_steps: 200
fidelity_weight: 0.5
upscale: 4
tile_overlap: 32
colorfix_type: adain
seed: 42

{
  "colorfix_type": "adain",
  "ddpm_steps": 200,
  "fidelity_weight": 0.5,
  "input_image": "https://replicate.delivery/pbxt/JPdHjT2nuixBTTtKrwMFyy9UE1QqB7Mr0T7baVtgnq7l4ogK/OST_120.png",
  "seed": 42,
  "tile_overlap": 32,
  "upscale": 4
}

Install Replicate’s Node.js client library:

npm install replicate

Set the REPLICATE_API_TOKEN environment variable:

export REPLICATE_API_TOKEN=r8_C4o**********************************

This is your API token. Keep it to yourself.

Import and set up the client:

import Replicate from "replicate";
import fs from "node:fs";

const replicate = new Replicate({
  auth: process.env.REPLICATE_API_TOKEN,
});

Run iceclear/stablesr using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "iceclear/stablesr:01e431cbcf30e2307c61dadca4db988411bc297d35f9bcad8b84ec1462cfe51b",
  {
    input: {
      colorfix_type: "adain",
      ddpm_steps: 200,
      fidelity_weight: 0.5,
      input_image: "https://replicate.delivery/pbxt/JPdHjT2nuixBTTtKrwMFyy9UE1QqB7Mr0T7baVtgnq7l4ogK/OST_120.png",
      seed: 42,
      tile_overlap: 32,
      upscale: 4
    }
  }
);

// To access the file URL:
console.log(output.url()); //=> "http://example.com"

// To write the file to disk:
fs.writeFile("my-image.png", output);

To learn more, take a look at the guide on getting started with Node.js.

Install Replicate’s Python client library:

pip install replicate

Set the REPLICATE_API_TOKEN environment variable:

export REPLICATE_API_TOKEN=r8_C4o**********************************

This is your API token. Keep it to yourself.

Import the client:

import replicate

Run iceclear/stablesr using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "iceclear/stablesr:01e431cbcf30e2307c61dadca4db988411bc297d35f9bcad8b84ec1462cfe51b",
    input={
        "colorfix_type": "adain",
        "ddpm_steps": 200,
        "fidelity_weight": 0.5,
        "input_image": "https://replicate.delivery/pbxt/JPdHjT2nuixBTTtKrwMFyy9UE1QqB7Mr0T7baVtgnq7l4ogK/OST_120.png",
        "seed": 42,
        "tile_overlap": 32,
        "upscale": 4
    }
)

# To access the file URL:
print(output.url())
#=> "http://example.com"

# To write the file to disk:
with open("my-image.png", "wb") as file:
    file.write(output.read())

To learn more, take a look at the guide on getting started with Python.

Set the REPLICATE_API_TOKEN environment variable:

export REPLICATE_API_TOKEN=r8_C4o**********************************

This is your API token. Keep it to yourself.

Run iceclear/stablesr using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

curl -s -X POST \
  -H "Authorization: Bearer $REPLICATE_API_TOKEN" \
  -H "Content-Type: application/json" \
  -H "Prefer: wait" \
  -d $'{
    "version": "iceclear/stablesr:01e431cbcf30e2307c61dadca4db988411bc297d35f9bcad8b84ec1462cfe51b",
    "input": {
      "colorfix_type": "adain",
      "ddpm_steps": 200,
      "fidelity_weight": 0.5,
      "input_image": "https://replicate.delivery/pbxt/JPdHjT2nuixBTTtKrwMFyy9UE1QqB7Mr0T7baVtgnq7l4ogK/OST_120.png",
      "seed": 42,
      "tile_overlap": 32,
      "upscale": 4
    }
  }' \
  https://api.replicate.com/v1/predictions

To learn more, take a look at Replicate’s HTTP API reference docs.

Output

{
  "id": "vwqsxtrbx64uwtd2aetfzir55a",
  "model": "iceclear/stablesr",
  "version": "01e431cbcf30e2307c61dadca4db988411bc297d35f9bcad8b84ec1462cfe51b",
  "input": {
    "colorfix_type": "adain",
    "ddpm_steps": 200,
    "fidelity_weight": 0.5,
    "input_image": "https://replicate.delivery/pbxt/JPdHjT2nuixBTTtKrwMFyy9UE1QqB7Mr0T7baVtgnq7l4ogK/OST_120.png",
    "seed": 42,
    "tile_overlap": 32,
    "upscale": 4
  },
  "logs": "Using seed: 42\nGlobal seed set to 42\nloaded input image of size (128, 128) from /tmp/tmpe7rru6n3OST_120.png\ntorch.Size([1, 3, 512, 512])\nSampling t:   0%|          | 0/200 [00:00<?, ?it/s]\nSampling t:   0%|          | 1/200 [00:00<00:21,  9.20it/s]\nSampling t:   1%|          | 2/200 [00:00<00:21,  9.38it/s]\nSampling t:   2%|▏         | 3/200 [00:00<00:21,  9.02it/s]\nSampling t:   2%|▏         | 4/200 [00:00<00:22,  8.90it/s]\nSampling t:   2%|▎         | 5/200 [00:00<00:21,  8.95it/s]\nSampling t:   3%|▎         | 6/200 [00:00<00:22,  8.77it/s]\nSampling t:   4%|▎         | 7/200 [00:00<00:21,  8.97it/s]\nSampling t:   4%|▍         | 9/200 [00:00<00:20,  9.29it/s]\nSampling t:   5%|▌         | 10/200 [00:01<00:20,  9.16it/s]\nSampling t:   6%|▌         | 11/200 [00:01<00:20,  9.19it/s]\nSampling t:   6%|▌         | 12/200 [00:01<00:21,  8.88it/s]\nSampling t:   6%|▋         | 13/200 [00:01<00:20,  9.02it/s]\nSampling t:   8%|▊         | 15/200 [00:01<00:19,  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[00:21<00:00,  9.92it/s]\nSampling t: 100%|██████████| 200/200 [00:21<00:00,  9.42it/s]",
  "output": "https://replicate.delivery/pbxt/2j7WjFe95d2lPiElGAl1HMSABEqYkVGT6jM5DFRXsUWAxzuIA/out.png",
  "data_removed": false,
  "error": null,
  "source": "web",
  "status": "succeeded",
  "created_at": "2023-08-25T15:19:06.422027Z",
  "started_at": "2023-08-25T15:19:06.388409Z",
  "completed_at": "2023-08-25T15:19:29.174935Z",
  "urls": {
    "cancel": "https://api.replicate.com/v1/predictions/vwqsxtrbx64uwtd2aetfzir55a/cancel",
    "get": "https://api.replicate.com/v1/predictions/vwqsxtrbx64uwtd2aetfzir55a"
  },
  "metrics": {
    "predict_time": 22.786526,
    "total_time": 22.752908
  }
}

Generated in

22.8 seconds

Tweak it Report

Using seed: 42 Global seed set to 42 loaded input image of size (128, 128) from /tmp/tmpe7rru6n3OST_120.png torch.Size([1, 3, 512, 512]) Sampling t: 0%| | 0/200 [00:00<?, ?it/s] Sampling t: 0%| | 1/200 [00:00<00:21, 9.20it/s] Sampling t: 1%| | 2/200 [00:00<00:21, 9.38it/s] Sampling t: 2%|▏ | 3/200 [00:00<00:21, 9.02it/s] Sampling t: 2%|▏ | 4/200 [00:00<00:22, 8.90it/s] Sampling t: 2%|▎ | 5/200 [00:00<00:21, 8.95it/s] Sampling t: 3%|▎ | 6/200 [00:00<00:22, 8.77it/s] Sampling t: 4%|▎ | 7/200 [00:00<00:21, 8.97it/s] Sampling t: 4%|▍ | 9/200 [00:00<00:20, 9.29it/s] Sampling t: 5%|▌ | 10/200 [00:01<00:20, 9.16it/s] Sampling t: 6%|▌ | 11/200 [00:01<00:20, 9.19it/s] Sampling t: 6%|▌ | 12/200 [00:01<00:21, 8.88it/s] Sampling t: 6%|▋ | 13/200 [00:01<00:20, 9.02it/s] Sampling t: 8%|▊ | 15/200 [00:01<00:19, 9.47it/s] Sampling t: 8%|▊ | 16/200 [00:01<00:19, 9.49it/s] Sampling t: 9%|▉ | 18/200 [00:01<00:18, 9.90it/s] Sampling t: 10%|▉ | 19/200 [00:02<00:18, 9.66it/s] Sampling t: 10%|█ | 20/200 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